Fault coverage in testing real-time systems
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Real-time systems interact with their environment, through time constrained input/output events. The misbehavior of real-time systems is generally caused by the violation of the specified time constraints. Validation of real-time system software is an important quality control activity in the software lifecycle. Among the validation processes, testing aims at assessing the conformance of an implementation against the reference specification. One of the important aspects in testing real-time software systems is the fault coverage measurement, which consists of studying the potential faults that can be detected by a test suite generated by a given test generation method. This paper addresses the fault coverage of the Tinted Wp-method we have introduced in (En-Nouaary et al., 1998). We present a timed fault model based on the TIOA model for real-time systems specification. We study the fault coverage of the timed Wp-method with respect to our fault model.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it